In fact, both versions of the new technique outperform by far, in terms of estimation accuracy, the RM estimator with an advantage for version II over version I (the advantage of exploiting the Toeplitz structure is now clearer).
Several computer simulation based experiments are performed to confirm that the proposed methods can reconstruct the original channel coefficient more effectively when compared to the conventional channel estimator in terms of estimation accuracy.
In terms of estimation, conceptually, one can estimate β js in a way analogous to linear reduction, i.e. through the eigen decomposition:, where Σ ϕ= Cov{ ϕ(X)} and Ωϕ is defined similarly as Ω x except we replace X with ϕ(X).
In the finite-dimensional setting, we derive mild sufficient conditions which ensure that a distributed estimator performs better than the local optimal ones in terms of estimation error variance.
The efficacy of these designs is studied, both in terms of estimation efficiency and discrimination success.
Optical design software can be used to assess these virtual surface in terms of estimation and optimization.
A wide range of suboptimal values around the optimal values may cause a slight error in terms of estimation accuracy.
I thought where you were going with your question was that, because it's this multi-dimensional thing with lots of different interactions, might you be misled in parameter space in terms of estimation, which is kind of a related question.
The performance, in terms of estimation, of each of the three methods is evaluated on a test set composed of additional experiments.
Numerical simulations demonstrate the superior performance of the proposed algorithm compared to traditional approaches in terms of estimation accuracy and the number of measurements required.
We will present estimators based on beamforming, subspace and parametric approaches and compare their performance in terms of estimation accuracy, resolution capability and computational complexity.
